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Evergreen - Software Engineer 2 (Fullstack), Threat Narrative

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Full Timemid
CAPosted 2 days ago

Job Description

# Evergreen - Software Engineer 2 (Fullstack), Threat NarrativeAbnormal SecurityFull TimemidRemoteRemoteRemotePosted 8 weeks ago## Resume Keywords to IncludeMake sure these keywords appear in your resume to improve ATS scoringPythonTypeScriptReactDjangoKafkaSparkAirflowSign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job DescriptionThis a Full Remote job, the offer is available from: United States, Canada### About the RoleAt Abnormal AI, our mission is to protect the world’s largest enterprises from advanced email and collaboration attacks.

The Threat

Narrative team transforms complex signals from our detection systems into clear, actionable stories that help customers understand the attacks we stop and the value of our platform.As a Software Engineer, Fullstack on the Threat Narrative team, you will help build the next generation of email-centric narrative experiences across Email Details and Threat Narrative views, with a focus on clearly communicating Abnormal detections to customers. You will work closely with GenAI and LLM-powered systems that distill thousands of low-level detection features and signals into concise, trustworthy explanations that customers can immediately act on. You will implement full-stack features end-to-end, from backend APIs and data contracts through to performant, intuitive UIs in the customer portal and internal tools that surface these explanations in the right context.

Your work will directly shape how customers perceive Abnormal’s detection quality and how they reason about threats at scale. This role is ideal for an engineer who enjoys owning well-scoped systems, learning from senior partners, and combining strong engineering fundamentals with product intuition and storytelling.What you will do* Design and implement fullstack features across Threat Narrative and Email Details surfaces, including customer portal components, internal analyst tools, and QBR-facing outputs, with guidance fro

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